Title: Data & AI Lead Engineer - (Databricks Professional) - Remote - 90407740 - Washington Location: Washington, DC, US, 20001 Remote Workplace: C4C Department: Data Strategy and Management Job Description: Your success is a train ride away! As we move America’s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of ‘Do the Right Thing, Excel Together and Put Customers First’ are at the heart of what matters most to us, and our Core Capabilities, ‘Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security’ are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. Work Environment: Remote Job Summary: The Data & AI Lead Engineer serves as a hands-on technical leader responsible for designing, implementing, and overseeing the delivery of enterprise data and AI solutions that power Amtrak’s digital transformation. This role combines deep technical expertise with project leadership, ensuring that data systems and AI capabilities are built to be scalable, reliable, secure, and aligned with governance standards. Leads operate across multiple product or platform teams, guiding design decisions, mentoring engineers, and managing the execution of complex initiatives. They balance delivery and innovation driving improvements in platform efficiency, engineering maturity, and the overall quality of Amtrak’s data and AI ecosystem. Essential Functions: • Lead the design, development, and deployment of enterprise-scale data and AI solutions from concept through production. • Provide hands-on technical guidance in coding, pipeline development, model deployment, and integration patterns. • Plan and coordinate engineering deliverables, ensuring adherence to technical standards, governance, and security policies. • Mentor junior and mid-level engineers, fostering skill development, collaboration, and engineering excellence. • Partner with architects, product owners, and governance leads to align solutions with Amtrak’s enterprise data strategy and roadmap. Minimum Qualifications: • Education: Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent professional experience may be accepted. • Experience: 6–8 years of experience in data engineering, AI systems development, or related technical roles with increasing leadership responsibility. • Licenses/Certifications: None required. Preferred Qualifications: • Experience in a leadership capacity within a scaled agile environment or data platform modernization initiative. • Familiarity with enterprise data governance, metadata management, and security standards. • Exposure to MLOps, cloud data platforms, and automation tools that accelerate delivery. • Prior mentorship or technical leadership of multi-functional project teams. Required Knowledge, Skills and Abilities: • Advanced proficiency in SQL, programming languages (e.g., Python, Scala, or Java), and Databricks. • Proven experience leading the delivery of complex data pipelines, integrations, or AI solutions. • Strong understanding of data quality, observability, and performance optimization. • Demonstrated ability to lead teams through technical challenges while remaining hands-on in design and coding. • Experience working within agile product teams, coordinating across multiple stakeholders. • Excellent communication, collaboration, and problem-solving abilities. The salary/hourly range is $103,700.00 – $134,460.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee’s assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee’s base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here. Work Arrangement:06-Onsite 4/5 Days Relocation Offered: No Travel Requirements: Up to 25% You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR § 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. §1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.

Role Description Zur Unterstützung strukturierter digitaler Abläufe suchen wir zuverlässige Personen für organisatorische Tätigkeiten im Homeoffice. Die Aufgaben erfolgen vollständig online und umfassen unter anderem: - Strukturierte Pflege und Aktualisierung digitaler Datensätze - Koordination und Verwaltung von Terminübersichten nach Vorgaben - Unterstützung organisatorischer Abläufe im digitalen Arbeitsalltag - Bearbeitung standardisierter Verwaltungsprozesse über Online-Tools - Dokumentation erledigter Aufgaben zur internen Übersicht Die Tätigkeit wird auf selbstständiger Basis durchgeführt und eignet sich besonders für Personen, die flexibel, strukturiert und ortsunabhängig arbeiten möchten. Qualifications - Sorgfältige und strukturierte Arbeitsweise - Zuverlässigkeit und eigenverantwortliches Arbeiten - Grundkenntnisse im Umgang mit digitalen Anwendungen und Online-Tools - Gute organisatorische Fähigkeiten und ein sicherer Umgang mit Informationen - Freundliche und professionelle Kommunikation im digitalen Austausch - Sehr gute Deutschkenntnisse in Wort und Schrift Hinweis: Vorkenntnisse sind nicht zwingend erforderlich, da eine strukturierte Einarbeitung in die Abläufe erfolgt. Benefits - Flexible Zeiteinteilung im Rahmen der Aufgaben - Ortsunabhängige Tätigkeit im Homeoffice - Strukturierte Einarbeitung mit klaren Abläufen - Digitale Zusammenarbeit in einem modernen Arbeitsumfeld - Langfristig angelegte Zusammenarbeit auf selbstständiger Basis - Unterstützung durch feste Ansprechpartner während der Einarbeitung Company Description Klarwerk Digital unterstützt strukturierte digitale Abläufe im Bereich Organisation, Datenpflege und administrativer Online-Prozesse. Der Fokus liegt auf klaren Arbeitsabläufen, moderner Remote-Zusammenarbeit und einer flexiblen digitalen Unterstützung organisatorischer Tätigkeiten.

• Design, develop, and maintain scalable data solutions using Microsoft Fabric • Build and manage data ingestion and transformation pipelines using Fabric Pipelines and Dataflows Gen2 • Develop ETL/ELT processes using PySpark, Spark SQL, and SQL • Implement and support Lakehouse and Data Warehouse solutions • Design and maintain medallion architecture (Bronze/Silver/Gold layers) • Create and optimize semantic models for Microsoft Power BI reporting and analytics • Support Direct Lake and other Fabric analytical capabilities • Monitor production jobs, troubleshoot failures, and perform root cause analysis

• Designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system • Building scalable data pipelines, transformation and enrichment processes • Provisioning layers and intuitive user interfaces aligned with strategic initiatives • Mentoring junior Data Engineers • Contributing to the research and adoption of emerging technologies • Collaborating with Product, Platform, and Architecture teams